Triple

T14600432
Position Surface form Disambiguated ID Type / Status
Subject Men of Honor E342689 entity
Predicate musicBy P1952 FINISHED
Object Mark Isham E229397 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mark Isham | Statement: [Men of Honor, musicBy, Mark Isham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Isham
Context triple: [Men of Honor, musicBy, Mark Isham]
  • A. Mark Isham chosen
    Mark Isham is an American composer and musician known for his atmospheric film scores and work in jazz and electronic music.
  • B. Ian Harwood
    Ian Harwood is a notable individual distinguished enough in his field or public life to be specifically recognized as a prominent bearer of the surname Harwood.
  • C. Jonathan Speirs
    Jonathan Speirs was a renowned Scottish architectural lighting designer known for co-founding influential lighting design practices and shaping the illumination of landmark buildings worldwide.
  • D. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • E. John Harwood
    John Harwood is an American journalist best known for his political reporting and analysis for major news outlets such as The Wall Street Journal, CNBC, and CNN.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb78c0308190908ba791fd8dc40e completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:25 a.m.